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James A. Davis

dblp:76/1014 · DBLP profile ↗
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22ranked-venue papers
13as first author
2since 2021 · last 2025
0000-0001-9208-7016ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 13 · 11 first-author · 2 since 2021Theory of computation · 4 · 1 first-authorComputer networks · 3 · 1 first-authorSystems, architecture and hardware · 1Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
6 papers
Coding theory · 100% Mathematical optimization · 0%
Computer networks
2 papers
Physical-layer communications · 52% Internet architecture and protocols · 48%

Topics — the 17 heaviest of 19, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › sequences › complementary sequences
golay sequences
0.122011
Shared Autocorrelation Property of Sequences · IEEE Trans. Inf. Theory 2011
Peak-to-mean power control in OFDM, Golay complementary sequences, and Reed-Muller codes · IEEE Trans. Inf. Theory 1999
Coding theory › error-correcting codes › space-time codes › space-time block codes › orthogonal designs
complex orthogonal design
0.112011
Novel Classes of Minimal Delay and Low PAPR Rate 1øver 2 Complex Orthogonal Designs · IEEE Trans. Inf. Theory 2011
Coding theory › sequences
sequence design
0.112011
Shared Autocorrelation Property of Sequences · IEEE Trans. Inf. Theory 2011
Coding theory › error-correcting codes › space-time codes
space-time block codes
0.112011
Novel Classes of Minimal Delay and Low PAPR Rate 1øver 2 Complex Orthogonal Designs · IEEE Trans. Inf. Theory 2011
Physical-layer communications
channel coding and estimation
0.112007
The Design of the IEEE 802.12 Coding Scheme · IEEE Trans. Commun. 2007
Coding theory › error-correcting codes
reed-muller codes
0.122011
Shared Autocorrelation Property of Sequences · IEEE Trans. Inf. Theory 2011
Peak-to-mean power control in OFDM, Golay complementary sequences, and Reed-Muller codes · IEEE Trans. Inf. Theory 1999
Coding theory › error-correcting codes › error detection
cyclic redundancy check
0.022007
The Design of the IEEE 802.12 Coding Scheme · IEEE Trans. Commun. 2007
Finding cyclic redundancy check polynomials for multilevel systems · IEEE Trans. Commun. 1998
Coding theory › error-correcting codes › reed-muller codes
generalized reed-muller codes
0.012011
Shared Autocorrelation Property of Sequences · IEEE Trans. Inf. Theory 2011
Coding theory
error-correcting codes
0.011999
Peak-to-mean power control in OFDM, Golay complementary sequences, and Reed-Muller codes · IEEE Trans. Inf. Theory 1999
Physical-layer communications › modulation › multicarrier modulation
OFDM
0.011999
Peak-to-mean power control in OFDM, Golay complementary sequences, and Reed-Muller codes · IEEE Trans. Inf. Theory 1999
Coding theory › error-correcting codes
burst error correction
0.011998
Finding cyclic redundancy check polynomials for multilevel systems · IEEE Trans. Commun. 1998
Cryptographic primitives and cryptanalysis
integer factorization
0.021984
An Update on Factorization at Sandia National Laboratories (Abstract) · CRYPTO 1984
Factorization Using the Quadratic Sieve Algorithm · CRYPTO 1983
Cryptographic primitives and cryptanalysis › integer factorization
quadratic sieve
0.011983
Factorization Using the Quadratic Sieve Algorithm · CRYPTO 1983
Cryptographic primitives and cryptanalysis › public-key cryptography
knapsack cryptosystem
0.011982
A Preliminary Report on the Cryptanalysis of Merkle-Hellman Knapsack Cryptosystems · CRYPTO 1982
Cryptographic primitives and cryptanalysis › public-key cryptography › knapsack cryptosystem
merkle-hellman cryptanalysis
0.011982
A Preliminary Report on the Cryptanalysis of Merkle-Hellman Knapsack Cryptosystems · CRYPTO 1982
Cryptographic primitives and cryptanalysis › public-key cryptography
public-key cryptanalysis
0.011982
A Preliminary Report on the Cryptanalysis of Merkle-Hellman Knapsack Cryptosystems · CRYPTO 1982
Mathematical optimization
integer programming
0.011982
A Preliminary Report on the Cryptanalysis of Merkle-Hellman Knapsack Cryptosystems · CRYPTO 1982

Methods — techniques the papers use, named apart from their topics

linear algebra · 0.1computer search · 0.1combinatorial reasoning · 0.1combinatorial construction · 0.1fast hadamard transform · 0.0coset partitioning · 0.0shift register implementation · 0.0lattice reduction · 0.0knapsack solving · 0.0number theory · 0.0
YearPublicationVenuePosition
2025 New spence difference sets
abstract
Abstract Spence [9] constructed $$\left( \frac{3^{d+1}(3^{d+1}-1)}{2}, \frac{3^d(3^{d+1}+1)}{2}, \frac{3^d(3^d+1)}{2}\right) $$ 3 d + 1 ( 3 d + 1 - 1 ) 2 , 3 d ( 3 d + 1 + 1 ) 2 , 3 d ( 3 d + 1 ) 2 -difference sets in groups $$K \times C_3^{d+1}$$ K × C 3 d + 1 for d any positive integer and K any group of order $$\frac{3^{d+1}-1}{2}$$ 3 d + 1 - 1 2 . Smith and Webster [8] have exhaustively studied the $$d=1$$ d = 1 case without requiring that the group have the form listed above and found many constructions. Among these, one intriguing example constructs Spence difference sets in $$A_4 \times C_3$$ A 4 × C 3 by using (3, 3, 3, 1)-relative difference sets in a non-normal subgroup isomorphic to $$C_3^2$$ C 3 2 . Drisko [3] has a note implying that his techniques allow constructions of Spence difference sets in groups with a noncentral normal subgroup isomorphic to $$C_3^{d+1}$$ C 3 d + 1 as long as $$\frac{3^{d+1}-1}{2}$$ 3 d + 1 - 1 2 is a prime power. We generalize this result by constructing Spence difference sets in similar families of groups, but we drop the requirement that $$\frac{3^{d+1}-1}{2}$$ 3 d + 1 - 1 2 is a prime power. We conjecture that any group of order $$\frac{3^{d+1}(3^{d+1}-1)}{2}$$
James A. Davis, John B. Polhill, Ken Smith, Eric Swartz, Jordan Webster
Des. Codes Cryptogr.1
2021 Abelian difference sets with the symmetric difference property
James A. Davis, J. J. Hoo, Connor Kissane, Calvin Reedy, Kartikey Sharma, Ken Smith
Des. Codes Cryptogr.1
2018 A framework for constructing partial geometric difference sets
James A. Davis, Oktay Ölmez
Des. Codes Cryptogr.1
2017 Near-complete external difference families
James A. Davis, Sophie Huczynska, Gary L. Mullen
Des. Codes Cryptogr.1
2013 A new product construction for partial difference sets
John B. Polhill, James A. Davis, Ken Smith
Des. Codes Cryptogr.2
2011 Novel Classes of Minimal Delay and Low PAPR Rate 1øver 2 Complex Orthogonal Designs
abstract
Complex orthogonal designs (CODs) of rate 1/2 have been considered recently for use in analog transmissions and as an alternative to maximum rate CODs due to the savings in decoding delay as the number of antennas increases. While algorithms have been developed to show that an upper bound on the minimum decoding delay for rate 1/2 CODs withn=2m-1 orn=2mcolumns is ν(n) = 2m-1 or ν(n) = 2m, depending on the parity ofnmodulo 8, it remains open to determine the exact minimum delay. This paper shows that this bound ν(n) is also a lower bound on minimum decoding delay for a major class of rate 1/2 CODs, named balanced complex orthogonal designs (BCODs), and that this is the exact minimum decoding delay for most BCODs. These rate 1/2 codes are conjugation-separated and thus permit a linearized description of the transceiver signal. BCODs also display other combinatorial properties that are expected to be useful in implementation, such as having no linear processing. An elegant construction is provided for a class of rate 1/2 CODs that have no zero entries, effectively no irrational coefficients, no linear processing, and have each variable appearing exactly twice per column. The resulting codes meet the aforementioned bound on decoding delay in most cases. This class of CODs will be useful in practice due to their low peak-to-average power ratio (PAPR) and other desirable properties.
Sarah Spence Adams, James A. Davis, Nathaniel J. Karst, Mathav Kishore Murugan, Bryce Lee, Matthew Crawford, Caitlin Greeley
IEEE Trans. Inf. Theory2
2011 Shared Autocorrelation Property of Sequences
abstract
Due to the low peak-to-mean envelope power ratio (PMEPR) of Golay sequences together with their connection to generalized Reed-Muller codes, many authors have proposed using Golay sequences as codewords in orthogonal frequency-division multiplexing (OFDM). Golay sequences that unexpectedly share the same aperiodic autocorrelation function can be used to construct longer Golay sequences. We study the shared autocorrelation property of general sequences with the ultimate goal of using those results to find other low power sequences. In this paper, we provide several new constructions of families of pairs of sequences with the shared autocorrelation property that enable us to explain nearly all of the binary shared autocorrelation property for sequences of lengths up to 24.
Corneliu Bodea, Calina A. Copos, Matt Der, David O'Neal, James A. Davis
IEEE Trans. Inf. Theory5
2008 G-Perfect nonlinear functions
James A. Davis, Laurent Poinsot
Des. Codes Cryptogr.1
2007 The Design of the IEEE 802.12 Coding Scheme
abstract
In 1995, the IEEE approved the 802.12 standard for data transmission at 100-Mbit/s using the Demand Priority Network Access protocol. 100 VG-AnyLAN products conforming to this standard offered an upgrade path for Ethernet and token ring networks, without requiring new building wiring. A key factor in the approval of the 802.12 standard was the demonstrated error detection properties of its coding scheme. In particular, the coding scheme allows the detection of error bursts affecting encoded data carried on four parallel conductors, using nothing more than the standard IEEE 32-bit cyclic redundancy check applied to the unencoded data. Although these error detection properties were presented for verification as part of the standards process, for many years commercial considerations prevented public disclosure of how the code was actually found. These considerations no longer apply, and, in this paper, we explain in detail the design principles of the code, combining geometrical insight, linear algebra, combinatorial reasoning, and computer search.
S. E. C. Crouch, James A. Davis, Jonathan Jedwab
IEEE Trans. Commun.2
1999 Peak-to-mean power control in OFDM, Golay complementary sequences, and Reed-Muller codes
abstract
We present a range of coding schemes for OFDM transmission using binary, quaternary, octary, and higher order modulation that give high code rates for moderate numbers of carriers. These schemes have tightly bounded peak-to-mean envelope power ratio (PMEPR) and simultaneously have good error correction capability. The key theoretical result is a previously unrecognized connection between Golay complementary sequences and second-order Reed-Muller codes over alphabets Z/sub 2/h. We obtain additional flexibility in trading off code rate, PMEPR, and error correction capability by partitioning the second-order Reed-Muller code into cosets such that codewords with large values of PMEPR are isolated. For all the proposed schemes we show that encoding is straightforward and give an efficient decoding algorithm involving multiple fast Hadamard transforms. Since the coding schemes are all based on the same formal generator matrix we can deal adaptively with varying channel constraints and evolving system requirements.
James A. Davis, Jonathan Jedwab
IEEE Trans. Inf. Theory1
1998 New Families of Semi-Regular Relative Difference Sets
James A. Davis, Jonathan Jedwab, Miranda Mowbray
Des. Codes Cryptogr.1
1998 Finding cyclic redundancy check polynomials for multilevel systems
abstract
This letter describes a technique for finding cyclic redundancy check polynomials for systems for transmission over symmetric channels which encode information in multiple voltage levels, so that the resulting redundancy check gives good error protection and is efficient to implement. The codes which we construct have a Hamming distance of 3 or 4. We discuss a way to reduce burst error in parallel transmissions and some tricks for efficient implementation of the shift register for these polynomials. We illustrate our techniques by discussing a particular example where the number of levels is 9, but they are applicable in general.
James A. Davis, Miranda Mowbray, Simon Crouch
IEEE Trans. Commun.1
1997 Using the Simplex Code to Construct Relative Difference Sets in 2-groups
James A. Davis, Surinder K. Sehgal
Des. Codes Cryptogr.1
1997 Analysis of Load Average and its Relationship to Program Run Time on Networks of Workstations
Trevor E. Meyer, James A. Davis, Jennifer Newman
J. Parallel Distributed Comput.2
1994 New families of combinators for efficient list manipulation
S. Mansoor Sarwar, James A. Davis
J. Syst. Softw.2
1993 A Note on New Semi-Regular Divisible Difference Sets
James A. Davis, Jonathan Jedwab
Des. Codes Cryptogr.1
1991 A Note on Products of Relative Difference Sets
James A. Davis
Des. Codes Cryptogr.1
1984 An Update on Factorization at Sandia National Laboratories (Abstract)
James A. Davis, Diane B. Holdridge
CRYPTO1
1983 Factorization Using the Quadratic Sieve Algorithm
James A. Davis, Diane B. Holdridge
CRYPTO1
1982 A Preliminary Report on the Cryptanalysis of Merkle-Hellman Knapsack Cryptosystems
Ernie Brickell, James A. Davis, Gustavus J. Simmons
CRYPTO2
1981 Comment on "A note on perfect lee-codes"
Diane B. Holdridge, James A. Davis
Discret. Appl. Math.2
1979 A Local Network of Mini and Microcomputers for Experiment Support
Arthur V. Pohm, James A. Davis, Steve Christiansen, Gary Bridges, Richard E. Horton
Comput. Networks2